An exact algorithm for large unbounded knapsack problems

  • Authors:
  • Silvano Martello;Paolo Toth

  • Affiliations:
  • DEIS, University of Bologna, Bologna, Italy;DEIS, University of Bologna, Bologna, Italy

  • Venue:
  • Operations Research Letters
  • Year:
  • 1990

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Abstract

Given n types, each having an associated profit and weight, and a container of given capacity, the unbounded knapsack problem is to determine the number of items of each type to be selected so that the corresponding total profit is a maximum and the corresponding total weight does not exceed the capacity. We present upper bounds, dominance relations, and an approach-based on the definition of a core problem-to the exact solution of very large instances of the problem. We give the results of computational experiments on randomly generated test problems involving up to 250 000 item types.